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Widespread sampling biases in herbaria revealed from large-scale digitization.
Daru, Barnabas H; Park, Daniel S; Primack, Richard B; Willis, Charles G; Barrington, David S; Whitfeld, Timothy J S; Seidler, Tristram G; Sweeney, Patrick W; Foster, David R; Ellison, Aaron M; Davis, Charles C.
Afiliación
  • Daru BH; Department of Organismic and Evolutionary Biology, Harvard University Herbaria, Harvard University, Cambridge, MA, 02138, USA.
  • Park DS; Department of Organismic and Evolutionary Biology, Harvard University Herbaria, Harvard University, Cambridge, MA, 02138, USA.
  • Primack RB; Biology Department, Boston University, Boston, MA, 02215, USA.
  • Willis CG; Department of Organismic and Evolutionary Biology, Harvard University Herbaria, Harvard University, Cambridge, MA, 02138, USA.
  • Barrington DS; Pringle Herbarium, Plant Biology Department, University of Vermont, Torrey Hall, 27 Colchester Ave, Burlington, VT, 05405, USA.
  • Whitfeld TJS; Brown University Herbarium, Department of Ecology and Evolutionary Biology, Brown University, 34 Olive Street, Box G-B225, Providence, RI, 02912, USA.
  • Seidler TG; Biology Department, University of Massachusetts, 611 North Pleasant Street, Amherst, MA, 01003, USA.
  • Sweeney PW; Division of Botany, Peabody Museum of Natural History, Yale University, New Haven, CT, 06511, USA.
  • Foster DR; Harvard Forest, Harvard University, 324 North Main Street, Petersham, MA, 01366, USA.
  • Ellison AM; Harvard Forest, Harvard University, 324 North Main Street, Petersham, MA, 01366, USA.
  • Davis CC; Tropical Forests & People Research Centre, University of the Sunshine Coast, Maroochydore, Qld, 4558, Australia.
New Phytol ; 217(2): 939-955, 2018 01.
Article en En | MEDLINE | ID: mdl-29083043
ABSTRACT
Nonrandom collecting practices may bias conclusions drawn from analyses of herbarium records. Recent efforts to fully digitize and mobilize regional floras online offer a timely opportunity to assess commonalities and differences in herbarium sampling biases. We determined spatial, temporal, trait, phylogenetic, and collector biases in c. 5 million herbarium records, representing three of the most complete digitized floras of the world Australia (AU), South Africa (SA), and New England, USA (NE). We identified numerous shared and unique biases among these regions. Shared biases included specimens collected close to roads and herbaria; specimens collected more frequently during biological spring and summer; specimens of threatened species collected less frequently; and specimens of close relatives collected in similar numbers. Regional differences included overrepresentation of graminoids in SA and AU and of annuals in AU; and peak collection during the 1910s in NE, 1980s in SA, and 1990s in AU. Finally, in all regions, a disproportionately large percentage of specimens were collected by very few individuals. We hypothesize that these mega-collectors, with their associated preferences and idiosyncrasies, shaped patterns of collection bias via 'founder effects'. Studies using herbarium collections should account for sampling biases, and future collecting efforts should avoid compounding these biases to the extent possible.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Plantas Tipo de estudio: Diagnostic_studies / Prognostic_studies País/Región como asunto: Oceania Idioma: En Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Plantas Tipo de estudio: Diagnostic_studies / Prognostic_studies País/Región como asunto: Oceania Idioma: En Año: 2018 Tipo del documento: Article